Relationships among Cortisol, Perceived Stress, and Dental Caries Experience in Adolescents and Young Adults
Bibliographic record
Abstract
INTRODUCTION: Stress can impact mental and physical health, especially during adolescence and young adulthood, but the extent of its contribution to dental caries is poorly understood. The present study assessed the association between perceived stress, cortisol levels (in hair and saliva), and overall caries experience of adolescents and young adults aged 15-25 years. METHODS: Hair and saliva samples were obtained from 93 participants free of periodontal disease. Cortisol in hair and saliva was determined using a competitive enzyme-linked immunosorbent assay. Participants completed a perceived stress questionnaire and underwent full-mouth oral examination by a calibrated examiner. Dental caries experience was based on the decayed, missing, and filled teeth (DMFT) index. Sociodemographic variables were also recorded. RESULTS: There were significantly higher hair cortisol levels and perceived stress scale (PSS) scores in individuals with dental caries experience (DMFT≥1) than in those without (DMFT = 0). However, there was no significant difference in salivary cortisol concentration. A binary logistic regression revealed that higher hair cortisol levels and greater scores on the perceived stress scale were associated with increased odds of having experienced dental caries. In contrast, no significant association was found between salivary cortisol concentration and dental caries. Using multivariable regression models, caries experience was found to be significantly associated with both hair cortisol levels and PSS scores. These associations remained statistically significant even after adjusting for sociodemographic variables. CONCLUSION: Hair cortisol levels and perceived stress have a significant association with dental caries experience, whereas salivary cortisol concentrations do not.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".